Conferences
computational hydrology | model analysis
data dissemination | data management
Talks
Mai, J. (invited talk)
Experiences from a model comparison study
Meeting of DFG Scientific Network on "Identification and analysis of process limitations in hydrological model structures", Leipzig, Germany. 15-16/05/2023.
Mai, J. (invited talk)
Methods and data best practices & data coordination
Workshop on Groundwater in the West, Canada (online). 09-10/05/2023.
Mai, J. (invited talk)
Large-scale hydrologic modeling efforts over the Great Lakes and North America
DAES/ASRC Joint Colloquium, State University of New York at Albany, NY, USA. 27/02/2023.
Mai, J. (invited keynote)
The Great Lakes Runoff Intercomparison Project (GRIP-GL)
Workshop on Watershed Ensemble Modeling in Southern
Ontario. Online. 14/10/2022.
Mai, J., JR Craig, BA Tolson, and R Arsenault
Sensitivity of Simulated Streamflow to Individual Hydrologic
Processes Across North America
FHIM 2022. San Juan, Puerto Rico. 19-24/06/2022.
Mai, J. (invited panelist)
The struggles of writing blockages and language barriers and how
I try to overcome them in panel discussion on "From failure to progress:
lessons learned in hydrology"
CGU 2022. Online. 01-03/06/2022 and 06-08/06/2022.
Mai, J., JR Craig, BA Tolson, and R Arsenault
Sensitivity of Simulated Streamflow to Individual Hydrologic
Processes Across North America
EGU 2022. Vienna, Austria. 23-27/05/2022.
Mai, J., H Shen, BA Tolson, E Gaborit, et al.
The beauty and the beast - The performance of physically and
Machine Learning-based models evaluated in a standardized experiment
over the Great Lakes
HydroML Symposium 2022. Penn State University, PA, USA. 18-20/05/2022.
Mai, J., H Shen, BA Tolson, E Gaborit, R Arsenault, JR Craig,
V Fortin, LM Fry, M Gauch, D Klotz, F Kratzert, N O'Brien, DG
Princz, S Rasiya Koya, T Roy, F Seglenieks, NK Shrestha, AGT
Temgoua, V Vionnet, and JW Waddell
Great Lakes Runoff Intercomparison Project Phase 4: The Great
Lakes (GRIP-GL)
GWF Science Meeting 2022. Online. 16-18/05/2022.
Mai, J. (invited keynote)
The beauty and the beast - The performance of physically and
Machine Learning-based models evaluated in a standardized experiment
over the Great Lakes
RHQ 2022. Quebec City, QC, Canada. 05-06/05/2022.
Mai, J. (invited keynote)
Towards more general sensitivity estimates: Applications
considering model structural uncertainties, grouping of parameters,
and large-scale analyses
SAMO 2022. Tallahassee, FL, USA. 14-16/03/2022.
Razavi, S, A Saltelli, C Prieur, and J Mai (invited panelist)
The Future of Sensitivity Analysis for Systems Modelling and
Policy Support
iEMS webcast and panel discussion. Waterloo, Canada. 09/11/2021.
BA Tolson and J Mai (invited talk)
Using Artificial Intelligence for Hydrological Modelling of Great Lakes Watersheds
Ontario Flood Forecasting and Warning Webinar. Waterloo, Canada. 03/11/2021
Mai, J., R Arsenault, BA Tolson, M Latraverse, K Demeester
(invited talk)
Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting
INRAE Antony, Catchment Hydrology research group meeting. Paris, France. 10/05/2021
Mai, J., BA Tolson, H Shen, E Gaborit, V Fortin, N Gasset, et al.
Model inter-comparison studies over the Great Lakes
GWF Science Meeting. Waterloo, Canada. 18/05/2021
Mai, J., BA Tolson, JR Craig, R Arsenault, M Cuntz (invited lecture)
New Methods in Sensitivity Analysis for Hydrologic Modeling
Spring school "RTG 1829 Integrated Hydrosystem Modeling - Land surface processes". Hohenheim, Germany. 15/03/2021
Mai, J., BA Tolson, H Shen, E Gaborit, V Fortin, N Gasset, et al.
Model inter-comparison studies over the Great Lakes
GWF/IMPC webinar. Waterloo, Canada. 23/11/2020.
Mai, J.
Use of multivariate data to understand/refine model simulations: Sensitivity analysis and parameter estimation
Course on "GEOG 825: Process-based hydrological modelling" at University of Saskatchewan. Saskatoon/Canmore, Canada. 27/10/2020
Mai, J., BA Tolson, KC Kornelsen, et al.
Five Reasons Why You Should Know CaSPAr and Cuizinart
Portage and Global Water Futures webinar series on Research Data
Management. Waterloo, Canada. 14/10/2020.
Mai, J., BA Tolson, H Shen, JR Craig, E Gaborit, N Gasset, V Fortin, et al.
The Great Lakes Runoff Inter-comparison Projec For Lake Erie (GRIP-E) and the Great Lakes (GRIP-GL)
3rd IMPC AGM meeting. Waterloo, Canada. 15-17/06/2020
Mai, J., BA Tolson, H Shen, E Gaborit, N Gasset, V Fortin, et al.
The Runoff Inter-comparison Project over Lake Erie and the Great Lakes
AGU Fall Meeting. San Francisco, CA, USA. 9-13/12/2019
Mai, J., BA Tolson, H Shen, E Gaborit, N Gasset, V Fortin, et al.
Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
Hydrology Subcommitee Meeting. Web-conference. Canada. 21/10/2019
Mai, J., BA Tolson, H Shen, E Gaborit, N Gasset, V Fortin, et al.
Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
IMPC Meeting. Saskatoon, SK, Canada. 12-13/06/2019
Mai, J., J Lin, B Persaud, M Gauch, E Wang, A Weatherhead, BA
Tolson, H Kheyrollah Pour, Z Li
The Cuizinart- A Tool For Automatic Subsetting of Large Gridded
Datasets and Data Dissemination
GWF Annual Science Meeting. Saskatoon, SK, Canada. 15-17/05/2019
Mai, J., BA Tolson, H Shen, E Gaborit, N Gasset, V Fortin, et al.
Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
GWF Annual Science Meeting. Saskatoon, SK, Canada. 15-17/05/2019
Mai, J., BA Tolson, H Shen, E Gaborit, N Gasset, V Fortin, et al.
Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
Hydrology Subcommitee Meeting. Web-conference. Canada. 17/04/2019
Mai, J., R Arsenault, BA Tolson, M Latraverse, K Demeester
A sequential assimilation strategy to improve short- and
long-term forecasts in a hydropower application
EGU General Assembly. Vienna, Austria. 07-12/04/2019
Mai, J., BA Tolson, KC Kornelsen, P Coulibaly, D Schaefer, N Gasset, V
Fortin, D Bouhemhem, M Leahy, F Anctil, B Hall
The Canadian Surface Prediction Archive of ECCC's Numerical
Weather Predictions (and the GWF Cuizinart)
Workshop on Flood Forecasting, Vancouver, BC, Canada. 20-21/02/2019
Mai, J., J Lin, Z Li, H Kheyrollah Pour, M Gauch, Y Wang, L
Tan, Y Li, A Pietroniro
The Global Water Futrures Data Slicer-and-Dicer: The Cuizinart
GWF Operations Committee Meeting, Saskatoon, SK, Canada. 22-23/01/2019
Mai, J., BA Tolson, KC Kornelsen, D Schaefer, N Gasset, V
Fortin, D Bouhemhem, M Leahy, P Coulibaly, F Anctil, B Hall
The Canadian Surface Prediction Archive of ECCC's Numerical
Weather Predictions
52nd Ontario Climate Advisory Committee Meeting, Ontario Ministry of
the Environment and Climate Change, Toronto, ON, Canada. 29/11/2018
Mai, J., BA Tolson, KC Kornelsen, D Schaefer, N Gasset, V
Fortin, M Leahy, P Coulibaly, F Anctil, B Hall
The Canadian Surface Prediction Archive of ECCC's Numerical
Weather Predictions: Five Reasons Why You Should Know it
Environment and Climate Change Canada. Dorval, QC, Canada. 09/10/2018
Mai, J., KC Kornelsen, BA Tolson, D Schaefer, N Gasset, V
Fortin, M Leahy, P Coulibaly, F Anctil, B Hall
Five Reasons Why You Should Know the Canadian Surface Prediction Archive CaSPAr
Floodnet Annual General Meeting. Quebec City, QC, Canada. 18-20/06/2018
Mai, J., BA Tolson, KC Kornelsen, D Schaefer, N Gasset, V
Fortin, M Leahy, and P Coulibaly
Five Reasons Why You Should Know the Canadian Surface Prediction Archive CaSPAr
CGU Annual Meeting. Niagara Falls, ON, Canada. 10-14/06/2018
Mai, J., BA Tolson, H Shen, E Gaborit, N Gasset, V Fortin, et al.
Status report on the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
GWF Science Meeting. Hamilton, ON, Canada. 04-06/06/2018
Mai, J., BA Tolson.
Model Variable Augmentation MVA for Online Diagnostic Assessment of Sensitivity Analysis Results
EGU General Assembly. Vienna, Austria. 09-13/04/2018
Mai, J., KC Kornelsen, BA Tolson, P Coulibaly, F Anctil, V Fortin, M Leahy, B Hall.
The Canadian Surface Prediction Archive (CaSPAr): A Platform to Enhance Environmental Modelling in Canada and Globally
AGU Fall Meeting. New Orleans, USA. 11-15/12/2017
Kornelsen, KC, J Mai, BA Tolson, P Coulibaly, F Anctil, V Fortin, M Leahy, B Hall.
The Canadian Surface Prediction Archive (CaSPAr): A Platform to Enhance Environmental Modelling in Canada and Globally
GIS in Education and Research Conference 2017, Toronto, Canada. 11/10/2017
Mai, J., KC Kornelsen, B Tolson, P Coulibaly, F Anctil, V Fortin, M Leahy, B Hall.
The Canadian Surface Prediction Archive CaSPAr
Floodnet Annual General Meeting, Montreal, Canada. 27-28/06/2017
Mai, J., M. Cuntz, M. Zink, S. Attinger, L. Samaniego.
The mesoscale Hydrologic Model mHM – Concept, Case studies & Model analyses –
University of Adelaide, Australia. 24/08/2016
Mai, J., M. Shafii, M. Cuntz, BA Tolson.
Multi-objective vs. single objective calibration of a hydrologic model exploring the benefit of
hydrologic signatures.
CMWR, Toronto, Canada. 20-24/06/2016
Mai, J., M. Cuntz, L. Samaniego, D. Schaefer.
Computationally inexpensive identification of noninformative model
parameters.
REKLIM workshop, Merseburg, Germany. 27-29/04/2016
Mai, J., M. Cuntz, M. Shafii, M. Zink, D. Schaefer, S. Thober,
L. Samaniego, and B. Tolson (2016).
Single-objective vs. multi-objective calibration of a hydrologic model using single-
and multi-objective screening.
EGU General Assembly. Vienna, Austria. 17-22/04/2016
Mai, J., M. Cuntz, L. Samaniego, D. Schäfer (2014).
Parameter sensitivity estimation: The different information in derivative- and
variance-based methods.
EGU General Assembly. Vienna, Austria. 28/04-02/05/2014
Mai, J., S. Trump, R. Ali, G. Hager, T. Hanke, I. Lehmann, S. Attinger
(2011).
Modeling spatio-temporal dynamics within living cells.
SETAC Europe 21st Annual Meeting, Milano, Italy. 16/05/2011.
Mai, J., S. Trump, R. Ali, T. Hanke, I. Lehmann, S. Attinger
(2011).
Imaging in Systems Biology.
Contaminants In The Environment CITE, Leipzig, Germany. 05/04/2011
Mai, J., G. Wittum, S. Attinger (2008).
The BaP-AhR-pathway:
Spatio-temporal dynamics of the receptor-ligand-complex.
Helmholtz Alliance on Systems Biology Status Seminar, Potsdam,
Germany. 24/06/2008
Conference Papers
Mai, J., S. Trump, S. Attinger (2009).
Analysis of spatio-temporal dynamics by atificial and real FRAP
data.
Sixth International Workshop on Computational Systems Biology - WCSB 2009 - Aarhus,
Denmark. 10-12/06/2009
Mai, J., S. Attinger (2008).
Modeling Motion of Contaminant BaP in Cytoplasm.
Fifth International Workshop on Computational Systems Biology - WCSB
2008 - Leipzig, Germany. 11-13/06/2008
Conference sessions
EGU 2023:
HS3.5 - Advances in Diagnostics, Sensitivity, Uncertainty Analysis, and Hypothesis Testing of Earth and Environmental Systems Models.
Juliane Mai, Cristina Prieto, Hoshin V. Gupta, Uwe Ehret
AGU 2022:
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models.
Juliane Mai, Lucy Marshall, Mary Hill, Saman Razavi
FIHM 2022:
318 - Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models.
Juliane Mai, Lucy Marshall, Saman Razavi, Sina Khatami
EGU 2022:
HS3.6 - Advances in diagnostics, inversion, sensitivity, uncertainty analysis, and hypothesis testing of Earth and Environmental Systems models.
Juliane Mai, Cristina Prieto, Hoshin Gupta, Thomas Wöhling, Anneli Guthke, Saman Razavi, Wolfgang Nowak
AGU 2021:
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models.
Juliane Mai, Lucy Marshall, Mary Hill, Saman Razavi, Debora Yumi de Oliveira
EGU 2021:
HS3.8 - Advances in diagnostics, sensitivity, uncertainty analysis, and hypothesis testing of Earth and environmental systems models.
Juliane Mai, Hoshin Gupta, Anneli Guthke, Wolfgang Nowak, Cristina Prieto, Saman Razavi, Thomas Wöhling
AGU 2020:
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models.
Juliane Mai, Lucy Marshall, Mary Hill, Saman Razavi
EGU 2020:
HS8.1.6 - Handling Uncertainties in Model Concepts, Parameters, Forcings and Forecasts: Diagnostics, Sensitivity, Inversion and Uncertainty Analysis
.
Wolfgang Nowak, Hoshin Gupta, Amin Haghnegahdar, Juliane Mai, Cristina Prieto, Saman Razavi, Thomas Wöhling
AGU 2019:
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth, Hydrologic, and Environmental Models, Including Data-Driven Approaches, Multiple Hypotheses, and Extremes.
Juliane Mai, Lucy Marshall, Meredith L Carr, Hamidreza Ghasemi Damavandi
AGU 2018:
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models.
Juliane Mai, Mary Hill, Saman Razavi, Matthias Cuntz
AGU 2017:
Diagnostics, Sensitivity, and Uncertainty Analysis of Earth and Environmental Models.
Juliane Mai, Kimberly C Brumble, Amin Haghnegahdar, Bryan Tolson
EGU 2016:
HS3.1 - Hydroinformatics: computational intelligence, uncertainty, systems analysis, optimisation, data science, and data-driven modelling of social-hydrologic systems.
Dimitri Solomatine, Robert J. Abrahart , Amin Elshorbagy , Ghada El Serafy , Elena Toth , Matthias Cuntz , Juliane Mai , George P. Petropoulos , Dr. Prashant K. Srivastava
AGU 2015:
Efficient Diagnostics, Sensitivity, and Uncertainty Analysis of Complex Environmental Models.
Matthias Cuntz, Juliane Mai, Dmitri Kavetski, Rafael Rosolem
EGU 2015:
HS2.3.16 - Uncertainty, Sensitivity Analysis and Efficient Diagnostics in Geosciences.
George P. Petropoulos, Dr. Prashant K. Srivastava , Stefano Tarantola , Mikhail Kanevski , Matthias Cuntz , Juliane Mai , Dmitri Kavetski , Rafael Rosolem
Posters
AGU 2018: The Great Lakes Runoff Inter-comparison Project for
Lake Erie (GRIP-E)
Juliane Mai, Bryan A. Tolson, Hongren Shen, Etienne Gaborit, Vincent
Fortin, Milena Dimitrijevic, Nicolas Gasset, Dorothy Durnford, Young
Lan Shin, Tricia A. Stadnyk, Lauren M. Fry, Tim Hunter, Andrew
D. Gronewold, Joeseph P. Smith, Lacey Mason, Laura Read,
Katelyn FitzGerald, Kevin M. Sampson, Alan F. Hamlet, Frank
Seglenieks, Shervan Gharari, Saman Razavi, Amin Haghnegahdar, Daniel
G. Princz, and Alain Pietroniro
Integrated Modelling Program for Canada (IMPC) First Annual
Meeting (July 2018): Automatic subsetting of WRF derived climate change scenario forcings
Juliane Mai and Zhenhua Li
AGU 2017: Method-independent, Computationally Frugal Convergence Testing for Sensitivity Analysis Techniques
Juliane Mai and Bryan Tolson
EGU 2017: Method-independent, Computationally Frugal Convergence Testing for Sensitivity Analysis Techniques
Juliane Mai and Bryan Tolson
AGU 2016: Multi-objective calibration of a hydrologic model using multi-objective screening
Juliane Mai, Matthias Cuntz, Stephan Thober, Luis Samaniego, and Bryan
Tolson
AGU 2016: Impact of the hard-coded parameters on the hydrologic and atmospheric fluxes of the land surface model Noah-MP
Matthias Cuntz, Juliane Mai, Luis Samaniego, Martyn Clark, Volker Wulfmeyer, Sabine Attinger, and Stephan Thober
AGU 2015: Multi-objective vs. single-objective calibration of a hydrologic model
Juliane Mai, Matthias Cuntz, Matthias Zink, David
Schaefer, Stephan Thober, Luis Samaniego, Mahyar Shafii, and Bryan
Tolson
AGU 2015: Towards constraining hydrologic models using satellite retrieved soil moisture
Matthias Zink, Juliane Mai, Martin Schrön, Oldrich Rakovec, David Schäfer, and Luis Samaniego
EGU 2015: Sensitivity Analysis of the Land Surface Model Noah-MP for Different Output Fluxes in 12 Distinct Catchments
Juliane Mai, Stephan Thober, Luis Samaniego, Oliver Branch, Volker Wulfmeyer, Martyn Clark,
Sabine Attinger, Rohini Kumar, Matthias Cuntz
AGU 2014: Computationally inexpensive identification of non-informative model parameters
Juliane Mai, Matthias Cuntz, Stephan Thober, Matthias Zink, Rohini Kumar, Oldrich Rakovec,
Sabine Attinger, John Craven, Giovanni Dalmasso, Ben Langenberg, Jude Musuuza, Vladyslav Prykhodko,
David Schaefer, Martin Schrön, Diana Spieler, and Luis Samaniego
AGU 2014: Sensitivity Analysis for the Land Surface Model NOAH-MP for Different Model Fluxes
Stephan Thober, Juliane Mai, Luis Samaniego, Martyn Clark, Pablo Mendoza, Volker Wulfmeyer, Oliver Branch,
Sabine Attinger, Rohini Kumar, Matthias Cuntz
AGU 2014: Multi-criteria hydrologic parameterization over European river basins
Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Juliane Mai, Stephan Thober and Matthias Cuntz
EGU 2014: Parameterization of PET approaches for distributed hydrologic modeling
Matthias Zink, Juliane Mai, Luis Samaniego, and Matthias Cuntz
AGU 2013: Calibration of a hydrological model using patterns of satellite derived land surface temperature
Matthias Zink, Luis Samaniego, Juliane Mai, and Matthias Cuntz
SBHD 2012: A FRAP simulator to quantify influences of experimental setup and model simplifications
Juliane Mai, Saskia Trump, Irina Lehmann and Sabine Attinger
ICSB 2011: Analysis of spatio-temporal dynamics by FRAP data
Juliane Mai, Saskia Trump, Rizwan Ali, Gordon Hager, Thomas Hanke, Irina Lehmann and Sabine Attinger
JSMB-JCBC 2010: Analysis of spatio-temporal dynamics by FRAP data
Juliane Mai, Saskia Trump, Rizwan Ali, Gordon Hager, Thomas Hanke, Irina Lehmann and Sabine Attinger
WCSB 2009: Analysis of spatio-temporal dynamics by artificial and real FRAP data
Juliane Mai, Saskia Trump, Rizwan Ali, Gordon Hager, Thomas Hanke, Irina Lehmann and Sabine Attinger
WCSB 2008: Modeling Motion of Contaminant BaP in Cytoplasm
Juliane Mai and Sabine Attinger